云化移动网络性能瓶颈的表征与识别
Characterization and Identification of Cloudified Mobile Network Performance Bottlenecks
摘要：
这项研究是首次尝试通过实验探索5G移动网络可能遇到的性能瓶颈。为此，我们利用了一个原型测试平台获得的广泛的测量结果，该测试平台捕获了云化移动网络的关键方面。我们调查的指标和一些方法的相关性，以准确和有效地识别瓶颈的不同位置的网络和系统架构的层。我们的研究结果验证了这一任务在多层架构中的复杂性，并强调了需要新的监控方法，智能融合跨网络层和功能的指标。特别是，我们发现分布式分析在瓶颈识别准确性和所产生的计算和通信开销方面都表现得相当好。
英文摘要：
This study is a first attempt to experimentally explore the range of performance bottlenecks that 5G mobile networks can experience. To this end, we leverage a wide range of measurements obtained with a prototype testbed that captures the key aspects of a cloudified mobile network. We investigate the relevance of the metrics and a number of approaches to accurately and efficiently identify bottlenecks across the different locations of the network and layers of the system architecture. Our findings validate the complexity of this task in the multi-layered architecture and highlight the need for novel monitoring approaches that intelligently fuse metrics across network layers and functions. In particular, we find that distributed analytics performs reasonably well both in terms of bottleneck identification accuracy and incurred computational and communication overhead.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
